The design and applications of a context service
ACM SIGMOBILE Mobile Computing and Communications Review
Moving Objects Information Management: The Database Challenge
NGITS '02 Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems
Location management in pervasive systems
ACSW Frontiers '03 Proceedings of the Australasian information security workshop conference on ACSW frontiers 2003 - Volume 21
LORE: an infrastructure to support location-aware services
IBM Journal of Research and Development
Context Awareness: a Practitioner"s Perspective
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Supporting location-based conditions in access control policies
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Location Conflict Resolution with an Ontology
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Location-dependent query processing: Where we are and where we are heading
ACM Computing Surveys (CSUR)
Towards QoC-aware location-based services
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Privacy for profitable location based services
SPC'05 Proceedings of the Second international conference on Security in Pervasive Computing
Context consistency management using ontology based model
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Data semantics in location-based services
Journal on Data Semantics III
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Tracking the location of people, computers, vehicles, and other mobile objects and performing computation on such location data are quickly gaining interest. The idea of location-based services has captured the imagination of application developers, wireless service providers, and content providers alike. However, the location of people, the most interesting mobile object, is tricky to determine because we don't track persons but rather the devices they carry or the transportation they use. That a person may be associated with numerous tracking devices simultaneously, but perhaps intermittently, makes location tracking challenging.In this paper we describe a methodology for aggregating location data from multiple sources associated with a single mobile object. We describe our existing location service infrastructure and illustrate scenarios where location aggregation is desirable and indeed required. Our experimentation in location-based services uses location data from wireless PDAs, vehicle tracking devices, and mobile and stationary computers.